code: def test_forward_runs_with_inputs(transformer_embeddings):
      input_ids = torch.tensor([[1, 2]])
      token_type_ids = torch.tensor([[1, 0]], dtype=torch.long)
      position_ids = torch.tensor([[0, 1]])
      transformer_embeddings(
          input_ids=input_ids,
          token_type_ids=token_type_ids,
          position_ids=position_ids,
      )
  
imports: import copy
  import pytest
  import torch
  from torch.testing import assert_allclose
  from transformers import AutoModel
  from transformers.models.bert.configuration_bert import BertConfig
  from transformers.models.bert.modeling_bert import BertEmbeddings
  from transformers.models.albert.configuration_albert import AlbertConfig
  from transformers.models.albert.modeling_albert import AlbertEmbeddings
  from allennlp.common import Params, FromParams
  from allennlp.modules.transformer import TransformerEmbeddings, ImageFeatureEmbeddings, TransformerModule
label_desc: Use image node_id 6 for calling a global function with example usage: test_forward_runs_with_inputs(transformer_embeddings) without return types